Best 15 AI Tools for Cybersecurity in 2024
Discover why artificial intelligence (AI) is a game-changing technology for the security business by looking at fifteen examples of AI tools for cybersecurity. You’ll learn how artificial intelligence (AI) may be used in many cyber security sectors, why it’s a good way to solve problems now, and what tools are available that make use of this technology.
1. Darktrace
This paper aims to elucidate the unique standing of Darktrace in AI for cyber defense. Darktrace is a technology multinational founded and based in Cambridge. For some 7+ years, it has been the first Cyber AI.
2.CrowdStrike Falcon
By providing deep endpoint visibility through advanced EDR tools and processes integrated with a next generation version of artificial intelligence such as machine learning, CrowdStrike leads the industry in ensuring that breaches are stopped before they occur. This tutorial is an introduction to CrowdStrike features and capabilities.
Key Features
Threat intelligence, end-point security and real-time threat detection.
Pricing Model:
3-tiers (feature-based levels) subscription model.
Advantages:
Strong threat intelligence, easy setup, device-agnostic protection.
Disadvantages:
Expensive with all features, Requires some internet to use at its best.
3. Vectra AI
Built to detect high-level threats, Vectra AI takes a proactive approach with threat detection as it uses other cybersecurity AIs in combination and has specific algorithms that let respond immediately. Its ongoing real-time monitoring of user behavior, network traffic and cloud environments allows businesses to identify risks faster so as risk reduction.
4. Palo Alto Networks Cortex XDR
XDR, a novel threat detection and response method is an ultimate quiver to thwart those tricky cyberbreak-in attempts barring from standard or fancy- schmany unauthorized access endeavour. Two years ago, Palo Alto Networks CTO Nir Zuk came up with the term XDR to represent a new way to approach threat detection and response as it is distributed across every data source.
With cyber threats soaring sky-high amidst the digital sphere, cybersecurity experts are continuously crafting new defensive strategies. One of the most remarkable recent innovations is Extended detection and response (XDR).
5. Splunk
Splunk, the big data platform that is actually there to make collections and classification of machine-generated Big Data easy as well as by performing internal search operations. It can be used to handle security, compliance; application administration and business/online analytics.
6. CylancePROTECT
CylancePROTECT Desktop will detect and prevent malware from attacking a device. Rather than reactive signatures, trust-based systems or sandboxes, BlackBerry uses machine-learning methods for mathematical malware identification.
It kind of obliterates the value that they have to sell future revisions, viruses, malware and bots.CylancePROTECT Desktop looks for potential file executions at the OS and memory levels as an example of how it can prevent harmful payloads from being delivered.
7. Fortinet FortiAI
FortiAI makes use of GenAI and it is a purpose-built AI assistant that significantly increases effectiveness of the SecOps teams as well as all levels of security analysts. Further GenAI results are enriched with Fortinet threat intelligence, product expertise, and use cases resulting in a context-aware experience inside the product, known as Forti AI delivers accurate actionable insights at an intended point in time.
In addition to already supported telecommunication networks use cases released earlier this year, the same FortiAI components leveraging machine learning are now available as part of other products within the Fortinet portfolio-today they also support MSSP with SaaS and XDR.
8. Microsoft Azure Sentinel
Azure Sentinel, formerly known as Microsoft Sentinel, is a security information and event management (SIEM) system in the Open Systems Interconnection model. Used as SOAR (Security Orchestration, Automation and Response) platform.
Azure SIEM/SOAR offers comprehensive protection over-the-board vision of an organisation using its enterprise-wide approach to data security and high-level cyber analytics for the best attack detection, threat visibility, proactive hunting & response.
9. Symantec Endpoint Protection
SymantjsonHover to expand Symantec Endpoint Protection – This is a client server solution protecting your servers, laptops and Desktops inside the network for all threats, viruses & vulnerabilities.
Symantjson prevention joins the reaction capacity to a broadessa spectrum of danger scourges, for example worms infections trojan steedhorse and adware by consolidating this with SymanteEndpoint fumbling ideas expected pathogens prevents offsets.
10. Sumo Logic
Sumo Logic is a top cloud-based supplier of services for machine data analytics. We deliver real-time insights into the complex and growing machine data pools of our clients. Proactive analytics boost mission-critical systems’ reliability by providing information across DevOps, IT operations, compliance, and security settings. The analytics engine’s primary power source is pattern detection.
11. McAfee MVISION
With McAfee MVISION Endpoint, administrators may perform rollback remediation to reverse changes made by threats, returning the system to a stable state that maintains user productivity and supports administrators.
12. RSA NetWitness
This summer, RSA unveiled RSA NetWitness Suite, an upgraded version of its security suite that expands upon RSA Security Analytics. The majority of the analytics capabilities in the RSA NetWitness suite are provided by NetWitness Packets and NetWitness Logs; additional products in the package include SecOps Manager, EndPoint, and others.
13. Cisco SecureX
Cisco SecureX is an integrated security platform that utilizes automation and artificial intelligence to enhance visibility and accelerate threat response across all Cisco security products. It operates as a powerful security catalyst, augmenting your existing Cisco system.
14. Exabeam
IT analysts can now collect hundreds of terabytes or even petabytes (unlimited logging) data, detect attack patterns with behavioral analytics to surface security attacks and automatically respond through Exabeam Security Platform when an anomaly is detected.
Outstanding cost of ownership combined with an excellent system solution: Siem Exabeam Exabeam performs behavior-based analyses to distinguish between the normal and abnormal, it correlates events together to identify threats, rolls up related activities so that you can more easily see what has happened and filter out benign exercises.
15. FireEye Helix
FireEye Helix delivers an intelligent, end-to-end security operations framework AI works with analysts to adapt the way that organizations detect and respond to threats. You might think of it as the cyber conductor for an orchestra, synchronizing every other section.
Conclusion
Cybersecurity technologies using artificial intelligence have become increasingly complex, yet they are still essential for all computer systems and networks. In terms of how effective cybercrimes are, it is a proactive move. It attempts to reduce danger of any kind and reacts accordingly. An automated security mechanism has been implemented to differentiate between threats and valuable data.
They must incorporate an AI tool to lower their system’s vulnerability to cyber threats and cybercrimes. Since this area has been researched, it is crucial to understand that AI tools for cybersecurity do not raise any danger of data leaks.
